Scientific-based modeling systems contain extraordinary amounts of data and produce mountains of output. These systems offer almost limitless options for providing the user with informed knowledge. This Advisor seeks to use the concept of technology embeddedness to delineate factors that are prohibiting emergency managers from harnessing the capability of scientific modeling systems when responding to disasters.
Advisor
The Challenges of Disaster Preparedness
Posted July 18, 2019 | Leadership |
About The Author
Theresa Jefferson is Associate Professor of Information Systems, Law, and Operations at Loyola University Maryland. Her research interests include decision support, disaster/risk management, business intelligence, and analytics. Dr. Jefferson’s multidisciplinary research projects, including the New Madrid Seismic Zone Catastrophic Planning Project and participation in the Netherlands-US Water Crisis Research Network, have focused on the areas of… Read More
Gloria Phillips-Wren is Full Professor and Chair of Information Systems, Law, and Operations at Loyola University Maryland. Her research interests include decision making, decision support systems, analytics, big data, business intelligence, data mining, intelligent systems, and technology use under stress. Dr. Phillips-Wren is coeditor of Intelligent Decision Technologies, former chair of the Association for Information Systems Special Interest… Read More
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